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GoatMilk98
/
635-a2-albert

Question Answering
Transformers
PyTorch
albert
Model card Files Files and versions
xet
Community
1

Instructions to use GoatMilk98/635-a2-albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GoatMilk98/635-a2-albert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="GoatMilk98/635-a2-albert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("GoatMilk98/635-a2-albert")
    model = AutoModelForQuestionAnswering.from_pretrained("GoatMilk98/635-a2-albert")
  • Notebooks
  • Google Colab
  • Kaggle
635-a2-albert
47.4 MB
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  • 1 contributor
History: 2 commits
GoatMilk98's picture
GoatMilk98
Upload 6 files
25b0a17 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    872 Bytes
    Upload 6 files over 2 years ago
  • pytorch_model.bin
    44.4 MB
    xet
    Upload 6 files over 2 years ago
  • special_tokens_map.json
    286 Bytes
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  • spiece.model
    760 kB
    xet
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  • tokenizer.json
    2.27 MB
    Upload 6 files over 2 years ago
  • tokenizer_config.json
    1.26 kB
    Upload 6 files over 2 years ago